Single-Cell Heterogeneity Analysis and CRISPR Screen Identify Key β-Cell-Specific Disease Genes
Massively parallel single-cell RNA-seq technology (Drop-Seq) was applied to analyze the transcriptome of 26,677 pancreatic islets cells from both healthy and type II diabetic (T2D) donors.
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Atlas
Pancreas v1.0Analysis Portals
NoneProject Label
HealthyAndDiabeticPancreasSpecies
Homo sapiens
Sample Type
specimens
Anatomical Entity
pancreas
Organ Part
islet of Langerhans
Selected Cell Types
Unspecified
Disease Status (Specimen)
Disease Status (Donor)
Development Stage
human adult stage
Library Construction Method
Drop-seq
Nucleic Acid Source
single cell
Paired End
falseFile Format
Cell Count Estimate
39.9kDonor Count
9